Developing Science Processing Skills Through Collecting Everyday Objects

Display

Objects Save Time On Research and Writing Hire a Pro to Write You a 100% Plagiarism-Free Paper. Get My Paper	Description
Sea shells	These can be collected in oceans such as the pacific ocean beaches. They are in different sizes, texture and color distribution.
Flowers Save Time On Research and Writing Hire a Pro to Write You a 100% Plagiarism-Free Paper. Get My Paper	These can be collected from flower gardens and surrounding natural forests. They grow I different colors such as purple. For example of flowers include the rose flower
White stones	These stones can be collected in rocks and river banks. They are in different sizes and texture.
Ceramics	They are collected from archeological past settlement sites
Museum cuneiform tablets	These are collected from the museum as past remains evidences.
Organics	They are collected from the surface of the earth
Coins	Coins can be collected from banks and museums. They are of different sizes, density and of different material based on the country they are sued in.
Buttons	These are collected from remains of clothes
Bricks	Collected from building sites. They are of different sizes
Nails	Collected from building sites. They are of different sizes
Phones	Collected from  old electronic shops signifying their use in technology
Black stones	Collected from river banks, soil and rock surfaces. They are of different size and texture
Photographs of the above objects	Collected from museums
Computer hardware components	Collected from digital shops

                                                 

                                                              Fig 1.1 image of objects collected in museum

There exist various differences and similarities in the object collected. For instance, the black and white stones are of the same size however color and texture differs. The black stone indicated a smooth texture as compared to the white stones. Seashells and flowers have a smooth texture but with various distinguishing and eye-catching colors. The flowers are in white, rose, blue and green colors signifying the scientific environment in which they grow from. The shells are collected from the ocean (Bencze & Alsop,2014). These are natural in nature. On the other hand, some technological objects such as phones and computer components have been collected. They signify the relationship that technology has with the underlying scientific materials such as organics, chemical, stones, and flowers. The phones’ function is to be used in identifying the photographs of each object through camera capture. The coins and buttons, though of particular sizes serve different functions. Coins are as a means of transacting item of trade through buying and selling while buttons are sued in textile, clothes, and backs. There also exist some archeological objects collected and are based on past historical evidence such as bricks, ceramics, and organics. These have been collected on a certain archeological site indicating a comparison of past and modern buildings and settlement houses. The coins indicate how technology has diversified in the modern era where now people transact in mobile money transfer without the use of liquid cash transfers. Each and every object is unique in its own way based on distinct observable characteristics and the overall function that it significantly serves (Copeland & McDonald, 2012). 

Some of the mystifying objects that I collected and dealt with included the coins, ceramics that I came across in the museum stores. They are weird and wonderful objects that people come into contact with and should be collected and stored (Heidorn, 2011). The photographs and materials are important tools for allowing maximal access to museum collections. They literally offer a permanent record of objects and takes up little space o view and store. The photographs clearly indicate how advancements in technology have diversified ancient artifacts data handling capabilities in the scientific form of observations. The photographic record contents included some of the cuneiform tablets, clay blocks with some given form of writing. Historically they are certainly dated as from 1854 (Sismondo, 2010). 

Observations

Photographic and objects collected can be extremely difficult. The recessed scientific nature of the ancient writings provides a legible similarity and difference in their characteristics and physical images. They offer a record for the objects historical existence in the collections. Evidently, the objects collected indicate how technology has advanced and developed tremendously over the past few years.

Reflective transformation imaging through the use of scientific concepts and technology such as light. This entire scientific process has enabled objects to be combined in a single image. Through the use of various mathematical programs and scientific techniques, more information can be obtained in a single capture (Dautray & Lions, 2012). The mathematical nature of the computer components collected can process and predict scientific information about the physical surfaces, similarities differences, texture and characteristics of the objects as clearly observed.

                                                                     

                                                                      Fig 1.2 Comparison of scientific data

Personally, I learned to appreciate the methodological and theoretical aspects of the scientific collection of data. I have gained scientific knowledge and skills that are key for my overall academic excellence.it has given me skills to bridge the gap between the researches hypotheses of a particular research with the work of another researcher aimed at solving problems in the society. The experiences form a basis for the conclusion of the future research (Dowson & Higginson, 2014). This also instills confidence in approaching scientific concepts and skills such as analysis, data collection, research design, and observations. It enables one to understand more on the methods of data collection that were used. From the experiences, I properly understood the relationship between science and technology. Technology can be used vastly in the curriculum development in various ways. The romanticized perspective of technology is that it enhances student learning and achievement in schools. It provides key guidelines for research opportunities by giving diversified, reliable and accurate data from vast sources (Sismondo, 2010). Technology development has made it easier to collect objects and data then store them safely. It also ensures that complex scientific processes are made easier to comprehend. Through the advancement of new technologies students are able to interact, creates a simple and conducive environment in which learners can learn by doing, receive responses immediately and consistently define their understanding and building of new knowledge (Livesley, 2013). 

Analysis

The scientist usually learns from a collection of data on objects. Learning to learn from data collection and research is a key aspect of the education for future scientists. In the modern day, however, various individuals from distich professional fields as learning from collection experiences such as investors, educational leaders and persons who really care about pollution, inequality and disease challenges.

A learning progression enables students to think effectively in developing an important hypothesis or domain over a given period of time. In an effective elementary or middle school program, students have great opportunities to get out in nature and be able to collect data inform of objects on their own regarding their local environment  (Livesley, 2013). Classic object collection and research opportunities for kids include making weather observations, collecting seashells. They benefit from getting the background skills so that when they get to high learning institutions they will be able to interpret and analyze the collected data scientifically and technologically.

This distinction is quite significant because when individuals collect object data themselves, they have a high chance to gain a better understanding of the existing process by which this individual aspect of nature was scientifically evaluated (Mark, Erman, & Roland, 2013). They are able to deeply identify the limits present on the validity of the data. In the process of designing first inscriptions, people can develop from both embodied and holistic sense of the natural environment setting when it comes to various physical interpretation. Comparison of the other objects collected by others gives more diversified knowledge.

Data collection is important as it enables individuals to gain quality information required in order to make informed decisions for further scientific analysis, study, and research. It provides solutions to problems and then analyses various new insights to a greater perspective. Evidently, doing science forms a natural and critical point of a child’s early learning. This is because their curiosity about the natural scientific world acts a powerful tool for their work. With the appropriate teacher’s guidance, the children’s natural curiosity and drive to make sense of the entire world provides a stepping stone or the background for the foundation of their start in incorporating skills of scientific inquiry (Shichibu & Konishi, 2010). This is aimed to explore the basic phenomenon and objects of the world that revolve around young children. This early science exploration becomes a very rich context in which young children can utilize in developing others beneficial skills such as teamwork and language. Children who enter school early have to be instilled with substantial knowledge of the natural world. On the contrary, children should not be viewed as simple thinkers in an implicit way. Research indicates that children can utilize a wide range of reasoning processes which are part of the scientific thinking underpinning. Therefore the context of science for early childhood learning can be incorporated from early stages for example through teaching and taking children to the fields to collect objects for fun (Harlen, 2017). They can then later analysis and simply observe the similarities and differences in terms of physical characteristics of the objects collected. This is a key aspect as it forms a basis for their future knowledge in evaluating and analyzing the data collected in a complex manner, for example, identifying the reasons behind characteristics of such objects. Scientific reasoning, the nature of science and scientific concept interplay are the main principles of children engaging in science. While facts are beneficial, children require to start building an understanding of basic scientific concepts and how they interrelate to be applied in a real ideal world that they live in. In developing curriculum for teachers, science should be focused equally in terms of concepts and topics to be explored and taught Shichibu & Konishi, 2010).

Reflection

The present phenomena and basic concepts are provided by the tutor in charge as a result of the interest that he/she has keenly observed in a classroom setting. After the phenomenon has been introduced to the children, they embark with their explorations with various giving questions

When kids collect data themselves, they collect a dozen or few objects.

Science activities are mostly deemed as pathways for the growth skills such as color, shape recognition through observations (Ferrari et al, 2015).These activities form the main parts of projects that focused on scientific concepts and the larger emphasis on the process of scientific inquiry. This idea is exacerbated particularly when tutors are little knowledge in science background and lacks the confidence to teach scientific skills to children in a classroom setting.

Data collection uses different criteria .Each criteria records the data collected and measures its intensity. The criteria follows steps as discussed below;

• Identifying data (Shichibu & Konishi, 2010).

This forms the first step of identifying the data and opportunities .After this step one decides what next and how it be handled .Assessments are  carried out to determine originality of data in science and technology.

• Selecting issue of opportunities related with the data collected.

This follows establishment of goals and objectives. It tries to answer questions such what is the reason for collecting data, what opportunities or issues have been identified in the area of operation. The step incurs procedures such as setting of goals which involves data brainstorming (Ferrari et al, 2015).

• Planning on appropriate approach and methods to collect data.

One will come up with decisions that will survey the reason and the importance of the data collected daily (Shichibu & Konishi, 2010). Approaches varies depending on the significant factors within the area of scope.

Data basically is arts and facts collected and then directed to computers for interpretation. Feeding different figures in computers for translation .Collecting data is important in different ways.

Data helps in making good decisions. In most cases decision succeeds mostly when one relies on the data. Researchers argues that 80% of the agreed decision in different areas depends on the data collected from the field. Once the quality and quantity of data have been collected then it becomes easy to come up with decisions and assumptions depending on the data.

Data collection saves time. Collecting data and feeding it to computers helps one to save time. Also displaying data on a platform too is also a matter of saving time .Without effective plans and procedures for collecting data leads to wastage of time and in so doing an organization fails to achieve the desired goals and objectives.

Collection

For example, analyzing data in science. The table below indicates amount of harmful gases emitted in the environment since 1973 to 1976 starting form month of January to April in litres.

Composition (litres) of gases in atmosphere (Shichibu & Konishi, 2010).

	January	February	March	April
1973	345	501	340	689
1974	370	514	362	670
1975	478	498	324	640
1976	490	502	365	678

The data above can be analyzed in different ways. In our case we can display data through use of table or either using graphs .For example the average amount of harmful gases emitted to the environment can be displayed through;

Average (litres) data from table (Sismondo, 2010). 

Average amount of harmful gases in atmosphere (litres).	Month.
456	January
502	February
354	March
670	April

Data can be easily analyzed (Sismondo, 2010). This is enhanced by use various variables .Things such as graphs, table and figures helps to evaluate data in science .Calculating averages and summation of data is easy .The results displays a convenient information which can be easily understood and interpreted.

Conclusion:

Science and technology provides a context in which children can grow and actively practice various basic skills involving other fields such as mathematics. Science is a collective endeavor that enhances children to work together and discuss ideas in detail that is significant in day to day practices. The thinking process and scientific skills bridge the gap between current learning and establishment of a future professional career in scientist fields.

References:

Bencze, L., & Alsop, S. (Eds.). (2014). Activist science and technology education (Vol. 9). Dordrecht, the Netherlands: Springer.

Copeland, L. O., & McDonald, M. F. (2012). Principles of seed science and technology. Springer Science & Business Media.

Dautray, R., & Lions, J. L. (2012). Mathematical analysis and numerical methods for science and technology: volume 1 physical origins and classical methods. Springer Science & Business Media.

Dowson, D., & Higginson, G. R. (2014). Elasto-hydrodynamic lubrication: international series on materials science and technology (Vol. 23). Elsevier.

Ferrari, A. C., Bonaccorso, F., Fal’Ko, V., Novoselov, K. S., Roche, S., Bøggild, P., … & Garrido, J. A. (2015). Science and technology roadmap for graphene, related two-dimensional crystals, and hybrid systems. Nanoscale, 7(11), 4598-4810.

Harlen, W. (2017). The teaching of science in primary schools. David Fulton Publishers.

Heidorn, P. B. (2011). The emerging role of libraries in data curation and e-science. Journal of Library Administration, 51(7-8), 662-672.

Livesley, R. K. (2013). Matrix Methods of Structural Analysis: Pergamon International Library of Science, Technology, Engineering and Social Studies. Elsevier.

Mark, J. E., Erman, B., & Roland, M. (Eds.). (2013). The science and technology of rubber. Academic press.

Shannon, M. A., Bohn, P. W., Elimelech, M., Georgiadis, J. G., Marinas, B. J., & Mayes, A. M. (2010). Science and technology for water purification in the coming decades. In Nanoscience And Technology: A Collection of Reviews from Nature Journals (pp. 337-346).

Shichibu, Y., & Konishi, K. (2010). HCl?Induced Nuclearity Convergence in Diphosphine?Protected Ultrasmall Gold Clusters: A Novel Synthetic Route to “Magic?Number” Au13 Clusters. Small, 6(11), 1216-1220.

Sismondo, S. (2010). An introduction to science and technology studies (Vol. 1). Chichester: Wiley-Blackwell.